The analysis of 100 genes supports the grouping of three highly divergent amoebae:: Dictyostelium, Entamoeba, and Mastigamoeba

The analysis of 100 genes supports the grouping of three highly divergent amoebae:: Dictyostelium, Entamoeba, and Mastigamoeba
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DOI:
10.1073/pnas.032662799
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发表时间:
2002-02-05
影响因子:
11.1
通讯作者:
Philippe, H
Philippe, H
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Bapteste, E;Brinkmann, H;Philippe, H

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变形虫的系统发育关系尚不清楚。为了解决这个难题,我们对balamuthi Mastigamoeba的1,280个表达序列标签进行了测序,并组装了一个包含123个基因的大型数据集,这些基因代表了三个表型高度不同的主要变形虫谱系:Pelobionta, Entamoebidae和Mycetozoa。利用最大似然方法对30个物种近25000个aa位点进行了系统发育重建。所有已建立的真核生物群都恢复了高统计支持,验证了我们的方法。有趣的是,这三种变形虫谱系强烈地聚集在一起,符合Conosa假说[由T. Cavalier-Smith(1998)定义]。剑桥Philos牧师。[j].中国生物医学工程学报,2016,33(2):481 - 481。两个线粒体阿米巴,自由生活的Mastigamoeba和人类寄生虫内阿米巴,形成了一个重要的姐妹群,排除了菌丝体动物盘基骨柱。这一结果表明,内阿米巴进化过程中的一部分还原过程(例如,典型线粒体的丢失)发生在其自由生活的祖先身上。将这种廉价的表达序列标签方法应用于许多其他谱系肯定会提高我们对真核生物进化的理解。
The phylogenetic relationships of amoebae are poorly resolved. To address this difficult question, we have sequenced 1,280 expressed sequence tags from Mastigamoeba balamuthi and assembled a large data set containing 123 genes for representatives of three phenotypically highly divergent major amoeboid lineages: Pelobionta, Entamoebidae, and Mycetozoa. Phylogenetic reconstruction was performed on similar to25,000 aa positions for 30 species by using maximum-likelihood approaches. All well-established eukaryotic groups were recovered with high statistical support, validating our approach. Interestingly, the three amoeboid lineages strongly clustered together in agreement with the Conosa hypothesis [as defined by T. Cavalier-Smith (1998) Biol. Rev. Cambridge Philos. Soc. 73, 203-266]. Two amitochondriate amoebae, the free-living Mastigamoeba and the human parasite Entamoeba, formed a significant sister group to the exclusion of the mycetozoan Dictyostelium. This result suggested that a part of the reductive process in the evolution of Entamoeba (e.g., loss of typical mitochondria) occurred in its free-living ancestors. Applying this inexpensive expressed sequence tag approach to many other lineages will surely improve our understanding of eukaryotic evolution.